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@@ -4,8 +4,22 @@ tags:
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  - text-classification
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  - sentiment-analysis
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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-
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  # BERT-based Sentiment Classification Mode
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  ## Model Details
 
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  - text-classification
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  - sentiment-analysis
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  license: apache-2.0
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+ widget:
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+ - text: "I absolutely loved this movie! The acting was superb and the plot was engaging."
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+ example_title: "Very Positive Review"
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+ - text: "The service at this restaurant was terrible. I'll never go back."
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+ example_title: "Very Negative Review"
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+ - text: "The product works as expected. Nothing special, but it gets the job done."
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+ example_title: "Neutral Review"
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+ - text: "I'm somewhat disappointed with my purchase. It's not as good as I hoped."
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+ example_title: "Negative Review"
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+ - text: "This book changed my life! I couldn't put it down and learned so much."
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+ example_title: "Very Positive Review"
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+ inference:
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+ parameters:
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+ temperature: 1.0
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+ pipeline_tag: text-classification
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  ---
 
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  # BERT-based Sentiment Classification Mode
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  ## Model Details